1.7万 件 ・ 関連度順
概要と使いどころ
Guides continuous improvement and change management for SMEs adopting AI. Applies Marginal Gains philosophy, Kaizen principles, and structured sprint methodologies to organizational transformation. Use when user asks about change management, continuous improvement, AI adoption strategy, team resistance, transformation roadmaps, or improvement sprints.
日本語の概要は準備中です。原文の説明を表示しています。
Shared setup and rules for the report-skills bundle (report-publisher, client-reporter, proposal-tracker, deck-publisher, report-designer). Loaded by the individual skills for the common ReportRoom MCP publish flow, account bootstrap, and safety gates. Not invoked directly — pick the specific skill for the job.
日本語の概要は準備中です。原文の説明を表示しています。
Enforce traceability from natural-language intent to machine predicates, final observables, evidence, and owner-readable acceptance. Use when conducting any audit, review, QA pass, parity or compliance check, security assessment, code or architecture review, visual or behavioral comparison, data validation, system verification, completion gate, or claim that an implementation satisfies a human request.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks to verify a story or ticket implementation against its spec - per-AC verdicts, code reuse and design conformance, dead code, then adversarial maintainer verification. Requires the qa/review agent roles registered by scripts/install-codex.sh. Keywords: story QA, acceptance criteria, spec conformance, AC coverage, QA this branch, verify story.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks for a multi-agent .NET code review - five parallel reviewers (correctness, performance, security/observability, data/messaging/integration, generalist) plus an adversarial maintainer that refutes weak findings. Requires the review agent roles registered by scripts/install-codex.sh. Keywords: dotnet review pipeline, multi-agent review, parallel reviewers, maintainer pushback, review this branch, cynical review.
日本語の概要は準備中です。原文の説明を表示しています。
Format and publish rich Notion documents with structured sections, code blocks, tables, callouts, quotes, mermaid diagrams, and emojis. Use when the user asks to organize, write, or save content to Notion (e.g., "notion에 정리해줘", "notion에 저장해줘"), or when invoked with /notion-format. Detects content type (tech-doc, meeting-notes, analysis, tutorial, bug-report) and applies the appropriate formatting template automatically.
日本語の概要は準備中です。原文の説明を表示しています。
Continuously detect recurring UI/UX concepts during frontend discussions, track conversation-wide recurrence, and register repeated concepts as structured knowledge assets in a Notion database via MCP. Activates when UI/UX principles, heuristics, laws, or design patterns recur during frontend work, or on manual @ux commands (@ux save, @ux skip, @ux link).
日本語の概要は準備中です。原文の説明を表示しています。
Research and compare how competing products implement a similar feature at the UX and interaction level. Provides structured comparison tables and strategic differentiation recommendations.
日本語の概要は準備中です。原文の説明を表示しています。
Re-audit code changes to identify side effects, regression risks, and unhandled edge cases before merging or deploying. Use after a change is complete and before merging to a shared branch, before deploying a hotfix, after complex multi-module refactoring, or when a previous review may have missed side effects in async, state-mutating, or security-sensitive code paths.
日本語の概要は準備中です。原文の説明を表示しています。
Diagnose and fix CJK (Korean, Japanese, Chinese) text-wrapping issues in web UIs. Systematically traces mid-syllable breaks, orphaned glyphs, and awkward line splits through a layered fix strategy covering global CSS cascade, component-library overrides, headline balancing, and translation-level phrase binding. Produces an evidence-based diagnosis and verification report before any code change is applied.
日本語の概要は準備中です。原文の説明を表示しています。
GitHub Pull Request creation specialist. Analyzes user requirements to create PRs with structured titles and bodies matching the user's query language. Handles git change analysis, PR draft creation, user confirmation, and final PR creation via gh CLI.
日本語の概要は準備中です。原文の説明を表示しています。
Use at the Mem Off hackathon. Keeps a running, evidence-backed report on how the participant's memory system performed for their coding agent during the day — what the harness measured, what cognee-report's scorecard says, what was recalled and whether it helped — in ./memoff-report.md and ./memoff-report.json. The report is submitted together with the action results; it never contains quotes, keys, data or names.
日本語の概要は準備中です。原文の説明を表示しています。
Use when creating, revising, or critiquing a chart, dashboard, or KPI display that makes a quantitative comparison someone will act on. Covers honest comparison and rendered checks; leave palette, marks, and library mechanics to the medium's own skill. Skip decorative graphics and diagrams with no data.
日本語の概要は準備中です。原文の説明を表示しています。
Boot the explicitly selected CLI(s) as the human's concierge: a project-aware side channel that sits ABOVE the running agent system in a shared writable terminal. It answers status questions and handles the human's ad hoc tasking while the working agents collaborate on the mesh — it is not a worker, manager, or gatekeeper, and team progress never waits for it.
日本語の概要は準備中です。原文の説明を表示しています。
Agents with competing priorities reach consensus through structured trade-offs.
日本語の概要は準備中です。原文の説明を表示しています。
Run a two-agent independent review/redteam followed by peer collaboration to produce a consensus superset of findings and enumerated revision requests. Use when Codex 5.5 and Claude Opus 4.7 should first critique a matter independently, then exchange work, synthesize the best combined analysis, and finish with a single agreed revision list.
日本語の概要は準備中です。原文の説明を表示しています。
Method for adding agent comments and work to a shared file without overlapping other agents. Creates isolated workspaces per agent with UTC timestamps. Use when told to add comments, reviews, or work to any file.
日本語の概要は準備中です。原文の説明を表示しています。
Multiple agents draft a structured document through federated co-authorship and formal voting.
日本語の概要は準備中です。原文の説明を表示しています。
Automate terminal UI (TUI) apps with agent-tui for testing, inspection, demos, and scripted interactions. Use when automating CLI/TUI flows, regression testing terminal apps, verifying interactive behavior, or extracting structured text from terminal UIs. Also use when asked what agent-tui is, how it works, or to demo it. Do not use for web browsers, GUI apps, or non-terminal interfaces.
日本語の概要は準備中です。原文の説明を表示しています。
Otimize Core Web Vitals (LCP, INP, CLS) para melhor experiência de página e ranking de busca. Use quando solicitado para "melhorar Core Web Vitals", "corrigir LCP", "reduzir CLS", "otimizar INP", "otimização de experiência de página" ou "corrigir deslocamentos de layout".
日本語の概要は準備中です。原文の説明を表示しています。
Diretrizes para layout moderno de UI em Avalonia usando Zafiro.Avalonia, enfatizando estilos compartilhados, componentes genéricos e evitando redundância em XAML.
日本語の概要は準備中です。原文の説明を表示しています。
Renderize diagramas SVG limpos em estilo blueprint a partir de specs JSON. Use quando usuários pedirem para desenhar, esboçar ou diagramar um fluxo de requisição, rede neural, bloco transformer, arquitetura de sistema, máquina de estados, pipeline de dados, ou qualquer visual técnico de nós e arestas que queiram como SVG para docs, READMEs, posts ou slides.
日本語の概要は準備中です。原文の説明を表示しています。
Auxilia na redação de conteúdo de alta qualidade através de pesquisa, adição de citações, melhoria de ganchos, iteração em esquemas e feedback em tempo real de cada seção. Transforma seu processo de escrita de esforço solo em parceria colaborativa.
日本語の概要は準備中です。原文の説明を表示しています。
Criando visualizações de dados interativas usando d3.js. Esta habilidade deve ser usada ao criar gráficos customizados, diagramas de rede, visualizações geográficas ou qualquer visualização de dados complexa baseada em SVG que requeira controle fino sobre elementos visuais, transições ou interações. Use isto para visualizações personalizadas além das bibliotecas de gráficos padrão, seja em React, Vue, Svelte, JavaScript vanilla ou qualquer outro ambiente.
日本語の概要は準備中です。原文の説明を表示しています。